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Same-model provider benchmark

DekaLLM vs NovitaAI: LLM provider comparison

Compare DekaLLM and NovitaAI on 4 exact shared text models. ProviderBench keeps speed, price, and catalog coverage separate so naturally faster model catalogs cannot distort the result.

DekaLLM

7 indexed models

Headquarters
Indonesia
Server regions
Indonesia
Model types
7 text

NovitaAI

66 indexed models

Headquarters
United States
Server regions
N/a
Model types
66 text

At a glance

Metric winners

There is no overall score. Each winner answers one specific question using only directly comparable data.

Fastest on shared models

NovitaAI

1.37× typical advantage

4 exact models with complete recent speed data

Lowest token cost

DekaLLM

$0.0798 / 1M

4 exact models using a 1K-input/500-output mix

Most models available

NovitaAI

66 models

Complete catalog coverage across all indexed modalities

Shared-model benchmark summary

MetricDekaLLMNovitaAI
Typical 500-token response16.10 s13.29 s
Typical response start0.97 s0.64 s
Typical output speed33.0 tok/s44.0 tok/s
Blended token price$0.0798 / 1M$0.1242 / 1M
Typical route uptime98.71%99.13%

Visual comparison

Price and performance charts

DekaLLMNovitaAI
500-token response by shared model

Estimated seconds using recent median response-start and output-speed data. Lower is better.

NovitaAI has the lower typical same-model response ratio across 4 measured models.

Blended token price by shared model

USD per 1 million tokens using a 1,000-input/500-output mix. Lower is better.

DekaLLM has the lower typical price ratio across 4 priced shared models.

Shared text models

4 exact models · newest first

ModelDekaLLMNovitaAI
Gemma 4 26B A4BWinner · DekaLLM

google/gemma-4-26b-a4b-it

DekaLLM
Blended price
$0.15 / 1M
500-token response
11.47 s
Response starts
1.05 s
Output speed
48.0 tok/s
Route uptime
96.48%
Context
262.1K
Route
dekallm/bf16
NovitaAI
Blended price
$0.22 / 1M
500-token response
22.17 s
Response starts
2.17 s
Output speed
25.0 tok/s
Route uptime
99.89%
Context
262.1K
Route
novita/bf16
gpt-oss-120bWinner · NovitaAI

openai/gpt-oss-120b

DekaLLM
Blended price
$0.08 / 1M
500-token response
17.74 s
Response starts
1.07 s
Output speed
30.0 tok/s
Route uptime
98.29%
Context
131.1K
Route
dekallm/bf16
NovitaAI
Blended price
$0.1167 / 1M
500-token response
9.33 s
Response starts
0.71 s
Output speed
58.0 tok/s
Route uptime
98.36%
Context
131.1K
Route
novita/fp4
gpt-oss-20bWinner · NovitaAI

openai/gpt-oss-20b

DekaLLM
Blended price
$0.066 / 1M
500-token response
32.15 s
Response starts
0.90 s
Output speed
16.0 tok/s
Route uptime
99.13%
Context
131.1K
Route
dekallm/bf16
NovitaAI
Blended price
$0.0767 / 1M
500-token response
4.79 s
Response starts
0.37 s
Output speed
113.0 tok/s
Route uptime
99.98%
Context
131.1K
Route
novita/fp4
Mistral NemoWinner · DekaLLM

mistralai/mistral-nemo

DekaLLM
Blended price
$0.0233 / 1M
500-token response
14.46 s
Response starts
0.57 s
Output speed
36.0 tok/s
Route uptime
99.48%
Context
131.1K
Route
dekallm/fp8
NovitaAI
Blended price
$0.0833 / 1M
500-token response
17.24 s
Response starts
0.58 s
Output speed
30.0 tok/s
Route uptime
94.73%
Context
60.3K
Route
novita/fp8

A per-model winner combines blended price and estimated 500-token response time with equal proportional weight. Ties and rows missing either measurement receive no badge. Comparison data calculated . Values use one deterministic route per provider and model; missing measurements remain visible as N/a.

DekaLLM vs NovitaAI analysis

How DekaLLM and NovitaAI compare for AI inference

DekaLLM and NovitaAI share 4 indexed text models, including Gemma 4 26B A4B, gpt-oss-120b, gpt-oss-20b, Mistral Nemo. NovitaAI has the stronger typical response-time result on the directly measured set.

Same-model speed evidence

4 shared models currently have complete response-start and output-speed measurements on both providers. The speed comparison uses per-model ratios before taking the median, so naturally faster model catalogs do not improve the result.

Token pricing on one workload

4 shared models have complete input and output prices on both providers. Prices use the same 1,000-input/500-output-token mix and are normalized to one million tokens for readability.

Catalog and deployment differences

DekaLLM has 7 indexed models and lists 1 published server region; NovitaAI has 66 models and lists no regions. Verify data residency, privacy terms, limits, and production latency directly before choosing.

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